| 光谱学与光谱分析 |
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| Near Infrared Spectra (NIR) Analysis of Octane Number by Wavelet Denoising-Derivative Method |
| TIAN Gao-you1, YUAN Hong-fu1,CHU Xiao-li1, LIU Hui-ying2, LU Wan-zhen1 |
1. Research Institute of Petroleum Processing, Beijing 100083, China
2. Beijing POL Institute, Beijing 102300, China |
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Abstract Derivative can correct baseline effects and also increase the level of noise. Wavelet transform has been proven an efficient tool for de-noising. This paper is directed to the application of wavelet transfer and derivative in the NIR analysis of octane number (RON). The derivative parameters, as well as their effects on the noise level and analytic accuracy of RON, have been studied in detail. The results show that derivative can correct the baseline effects and increase the analytic accuracy. Noise from the derivative spectra has great detriment to the analysis of RON. De-noising of wavelet transform can increase the S/N and improve the analytical accuracy.
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Received: 2003-11-08
Accepted: 2004-03-16
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Corresponding Authors:
TIAN Gao-you
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| Cite this article: |
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TIAN Gao-you,YUAN Hong-fu,CHU Xiao-li, et al. Near Infrared Spectra (NIR) Analysis of Octane Number by Wavelet Denoising-Derivative Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(04): 516-520.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2005/V25/I04/516 |
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